Parvez has an extensive background in computer vision, machine learning, image processing and signal processing. He possesses several years of experience in working with multi-disciplinary cross-functional teams and translating real-world problems into a mathematical setting. He is experienced in diverse application domains such as medical imaging, bioinformatics, neuroscience, multimedia delivery, remote sensing and camera networks.
Parvez obtained his Ph.D. in Electrical Engineering and Computer Science from University of California at Berkeley.
